代码搜索：Bayesian
找到约 1,632 项符合「Bayesian」的源代码
代码结果 1,632
www.eeworm.com/read/449504/7503083
m sar_g.m
function results = sar_g(y,x,W,ndraw,nomit,prior)
% PURPOSE: Bayesian estimates of the spatial autoregressive model
% y = rho*W*y + XB + e, e = N(0,sige*V), V = diag(v1,v2,...vn)
%
www.eeworm.com/read/210632/15194995
m bayes_k_nn.m
function [pred, mc, beta_store, k_store, lik_store] = ...
bayes_k_nn(data,test,q,costs,its,burn_in,weighted);
%
% Performs Weighted/Non-weighted Bayesian K - Nearest Neighbour model
% using q s
www.eeworm.com/read/470861/1443332
svn-base spm_mar.m.svn-base
function [mar,y,y_pred] = spm_mar (X,p,prior)
% Bayesian Multivariate Autoregressive Modelling
% FORMAT [mar,y,y_pred] = spm_mar (X,p,prior)
%
% Matrix of AR coefficients are in form
% x_t = -a_1
www.eeworm.com/read/427909/8913089
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min
www.eeworm.com/read/373249/9467888
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min
www.eeworm.com/read/164422/10108761
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Minka,
www.eeworm.com/read/425546/10348663
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min
www.eeworm.com/read/349646/10808504
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min
www.eeworm.com/read/349646/10809164
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min
www.eeworm.com/read/469416/6976118
m matrix_t_pdf.m
function p = matrix_T_pdf(A, M, V, K, n)
% MATRIX_T_PDF Evaluate the density of a matrix under a Matrix-T distribution
% p = matrix_T_pdf(A, M, V, K, n)
% See "Bayesian Linear Regression", T. Min